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dc.contributor.author Ogwu, F.J.
dc.contributor.author Talib, M.
dc.contributor.author Aderounmu, G.A.
dc.date.accessioned 2011-06-03T08:07:52Z
dc.date.available 2011-06-03T08:07:52Z
dc.date.issued 2007
dc.identifier.citation Ogwu, F.J. et al (2007) Stochastic estimator-based wireless traffic control schemes, Journal of Computer Science, Vol. 3, No.12, pp. 918-923 en_US
dc.identifier.issn 1549-3636
dc.identifier.uri http://hdl.handle.net/10311/817
dc.description.abstract Recent works on Available Bit Rate (ABR) traffic control have generated efficient control schemes for ABR traffic on Asynchronous Transfer Mode (ATM) network. This study examines the improved performance envisaged if these control schemes adjust dynamically to the varying ABR bandwidth capacity in a stochastic manner instead of conventional deterministic approach. The performance difference between setting explicit rate deterministically for transmitting ABR sources and doing the same stochastically using a learning automaton is of particular interest. The learning automaton used is the Stochastic Estimator Learning Automaton (SELA). The performance difference is measured by comparing the congestion levels of the SELA-based control scheme with the reference deterministic control mechanism. Simulation results show that the stochastic estimator gives a better performance. The higher average congestion level experienced by the conventional deterministic approach is mainly due to the propagation time delay in the closed-loop feedback control schemes. en_US
dc.language.iso en en_US
dc.publisher Science Publications, http://www.scipub.org/scipub/c4p.php?j_id=JCS en_US
dc.subject Learning algorithm and training en_US
dc.subject Network en_US
dc.subject Application control en_US
dc.subject Deterministic en_US
dc.subject Estimation en_US
dc.subject Performance evaluation en_US
dc.subject Simulation en_US
dc.subject Network architecture en_US
dc.subject Feedback control en_US
dc.subject Propagation-time en_US
dc.subject Stochastic control en_US
dc.subject Random sampling en_US
dc.subject Equation en_US
dc.subject Reinforcement learning en_US
dc.subject Convergence time en_US
dc.subject Robust en_US
dc.title Stochastic estimator-based wireless traffic control schemes en_US
dc.type Published Article en_US
dc.link http://www.scipub.org/fulltext/jcs/jcs312918-923.pdf en_US


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